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by F. Herrera, F. Herrera, P. Villar, P. Villar
International Journal of Approximate Reasoning
ftp://decsai.ugr.es/pub/arai/tech_rep/ga-fl/tr-99116.ps.Z
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Abstract:
In this contribution, we will analyse the importance of the fuzzy partition granularity for the linguistic variables in the design of Fuzzy Rule-Based Systems (FRBSs). In order to put this into effect, we will study the FRBS behaviour considering uniform fuzzy partitions with the same number of labels for all the linguistic variables, and considering uniform fuzzy partitions with any number of labels for each linguistic variable. We will present a method based on Simulated Annealing in order to obtain a good uniform fuzzy partition granularity, that improves the FRBS behaviour. It is an efficient granularity search method finding a good number of labels per variable.
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